INFORMATION EXCHANGE AND SUPPLY CHAIN PERFORMANCE

Author(s):  
T. RAMAYAH ◽  
ROAIMAH OMAR

The purpose of this study is to examine the effects of operational and strategic information exchange on supply chain performance and the moderating role of information quality in relation to both operational and strategic information exchange. The study was conducted using manufacturing companies located in the Northern region of Malaysia. Hierarchical multiple regressions were applied to test the hypotheses developed for the study. It was found that operational and strategic information exchange is significantly related to supply chain performance. The impact of strategic information exchange is greater as opposed to operational information exchange. Information quality does not moderate the relationship between both operational and strategic information exchange and supply chain performance. Nonetheless, this study provides evidence that both strategic information exchange and operational information exchange are required to enhance supply chain performance. As such supply chain partners should effectively exchange strategic information as the impact is greater on performance.

2021 ◽  
Vol 14 ◽  
pp. 22-38
Author(s):  
Panxin Zhou

Today, Supply Chain Management (SCM) is regarded as an essential strategic factor, which has a great deal of influence on earning competitiveness in global business environment. There are conflicts among all members of the SCM. In order to maximize the total profit of the SCM, negotiation among all members is necessary. For enterprise in the supply chain, the supply chain partnership has become a significant factor affecting firm performance. In this paper, I examine the impact of cooperation between enterprise and its supply chain partners. Specifically, I collect survey data from Chinese manufacturing firms about their relations with partners and use regression analysis to test hypotheses about the associations between firm performance and supply chain partnership. My results support that superior supplier partnership has a positive impact on reducing transaction costs and improving financial and market performance. In additional test, I establish a series of models with interactive terms. The results of additional test indicate that the impact is enhanced if the competition of each sub industry of the manufacturing industry is different. Above all, I put forward the following suggestions. Enterprise managers could establish an evaluation mechanism of suppliers and retailers, which select high-quality cooperative partners and reduce low-quality transaction costs for enterprises. When participating in business operation, shareholders could comprehensively understand the business conditions of various supply partners and choose reliable supply chain partners for investment. Also, the government can guide the realization of resource sharing and information exchange among supply chain enterprises, which is beneficial to create a more competitive supply chain to promote economic development.


2014 ◽  
Vol 25 (3) ◽  
pp. 553-580 ◽  
Author(s):  
Arshad Alam ◽  
Prabir K. Bagchi ◽  
Bumsoo Kim ◽  
Subrata Mitra ◽  
Fernando Seabra

Purpose – The purpose of this paper is to analyze the impact of individual logistics-related factors, namely, supplier involvement (SI), length of supplier relationship (LSR), use of information technology (IT), and logistics integration (LI) on a firm's supply chain performance (SCP) and test for the mediating effect of LI in a multi-country survey conducted in Brazil, Korea and India. The paper also develops a composite variable, supply chain competency (SCC), as an overall measure of the quality of a firm's supply chain and demonstrate its effect on a firm's SCP. Design/methodology/approach – The research methodology was based on designing and administering a survey instrument. Data collected from 187 organizations in Brazil, Korea and India were analyzed using the partial least squares structural equation modeling methodology. Findings – Results show that for the combined data, the direct effects of SI, LSR and IT on SCP are insignificant while LI has a very significant direct effect on SCP. On the other hand, except for SI, LSR and IT have significant effects on SCP through LI establishing the mediating role of LI. The paper also finds that SCC has a significant effect on SCP. Further, when countries are considered individually the paper finds that IT has a significant indirect effect on SCP in the case of all the countries while LSR has a significant indirect effect on SCP, both in the case of Brazil and Korea. Additionally, in the case of Korea SI has a significant indirect effect on SCP. Research limitations/implications – Like other survey-based research, the findings of this paper are also limited by the sample size. Especially, the observations specific to individual countries are as good as the respective sample sizes. Also, since all the respondents belonged to manufacturing firms, the findings of this paper are relevant for the manufacturing sector. Practical implications – This paper establishes the mediating effect of LI in assessing the impact of logistics-related factors on a firm's SCP. It confirms that although logistics-related factors are necessary for a firm's superior SCP, they are not sufficient unless their interactions are taken into consideration, as evidenced by the significant positive relationship between SCC and SCP. Originality/value – To the best of the authors’ knowledge, this paper is the first paper to study the effect of logistics-related factors on a firm's SCP and establish the mediating role of LI in a multi-country setting. This paper also develops a composite variable SCC and examines its effect on SCP.


2021 ◽  
Vol 7 (3) ◽  
pp. 357-370
Author(s):  
Nadir Munir Hassan ◽  
Muhammad Nauman Abbasi

This study elaborates the importance of network perspective in driving performance outcomes especially in the context of agriculture (Textile) supply chains. The impact of network factors (i.e. actors, resources, and activities) on overall supply chain performance have been explored. By deploying survey, a two-stage cluster sampling was used to attain study objectives. The Textile firms from Punjab and Sindh were selected for data collection. Through a structured questionnaire, 482 responses were generated and analyzed using PLS-SEM. The findings of the study confirmed that Network Actors (Textile Firms), the activities they perform, and the resources they have, generate a significant and positive impact on supply chain performance. The study recommends the need for understanding the role of integrative initiatives between the studied variables, i.e. network factors. Further, it is argued that integrated Network Factors can generate a significant impact on Supply Chain Performance.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gizem Erboz ◽  
Işık Özge Yumurtacı Hüseyinoğlu ◽  
Zoltan Szegedi

Purpose Industry 4.0 not only impacts the manufacturing industry but also supply chain practices. Drawing on the resource-based view (RBV), the purpose of this paper is to examine how Industry 4.0 affects supply chain integration (SCI) and supply chain performance (SCP). Design/methodology/approach The data were collected from 212 respondents in manufacturing companies. The partial least square structural equation modelling (PLS-SEM) was used to test the hypotheses of this study. Findings The findings reveal that Industry 4.0 has a positive impact on SCI and SCP, and SCI has a positive impact on SCP. In addition, a partial mediating role of SCI has been found between Industry 4.0 and SCP. Practical implications This study reveals the role of Industry 4.0 on supply chain practices and draws attention to SCI in the linkage between Industry 4.0 and SCP. The findings emphasise the need for Industry 4.0 and SCI to enhance SCP. Originality/value There is limited research on the impacts of Industry 4.0 on SCI and SCP. This research finds empirical evidence for these impacts and enhances knowledge of Industry 4.0 by using a sample from an emerging country.


2018 ◽  
Vol 24 (3) ◽  
pp. 635-651 ◽  
Author(s):  
Dara G. Schniederjans

Purpose The purpose of this paper is to assess the role of business process innovation on the relationship between social quality management (SQM) and supply chain performance. To address this issue, this paper distinguishes SQM from soft quality management. This paper further refines the impact of two levels of business process innovation (radical vs incremental) on this relationship. Design/methodology/approach Data were collected through a survey of manufacturing firms throughout the USA. Hierarchical moderated regression analyses were performed in order to examine the hypotheses. Findings This study confirmed the positive association between SQM and supply chain performance. While the results confirm a positive moderating relationship with incremental business process innovation between SQM and supply chain performance, radical process innovation was found to have a negative moderating role on this relationship. Originality/value This paper distinguishes SQM from soft quality management thus making it easier to determine which aspects of soft quality management enhance supply chain performance. This study also provides evidence of the differing ways in which business process innovation moderates the relationship between SQM and supply chain performance specifically identifying the positive and negative moderating role of incremental and radical business process innovations.


2014 ◽  
Vol 19 (5/6) ◽  
pp. 733-746 ◽  
Author(s):  
Young-Joon Seo ◽  
John Dinwoodie ◽  
Dong-Wook Kwak

Purpose – This purpose of this paper is to study the impact of innovativeness on supply chain integration (SCI) and supply chain performance (SCP) and the role of SCI in mediating between innovativeness in the supply chain and SCP. Innovativeness is an accepted driver to leverage firm performance. SCI and SCP require innovativeness in the supply chain, but their interrelationships have rarely been researched empirically. Design/methodology/approach – A questionnaire survey and structural equation modelling were used in this work. After a structural and measurement model was devised from existing supply chain literature, the main data were collected in a web-based questionnaire survey of South Korean manufacturers. Structural equation modelling was applied to test proposed hypotheses on the associations between variables, following a hierarchical analysis process. Findings – Innovativeness in the supply chain had a positive impact on both SCI and SCP. However, the direct impact of innovativeness on SCP disappeared when the model included SCI as a mediator. In specific, internal and supplier integration fully mediated innovativeness–SCP relationships, whereas customer integration had no mediating role on those relationships. The findings suggest that innovativeness can influence SCP only when the manufacturer’s level of SCI is sufficiently effective in developing necessary supply chain practices. Research limitations/implications – In this work, innovativeness in the supply chain effectively influenced SCP through the mediation of SCI. However, cross-sectional analysis in one nation using one response per organisation invites validation embracing other geographical areas and longitudinal studies. Practical implications – Design of an innovative culture within a firm and along a supply chain can enhance SCI practices by stimulating innovativeness. A high level of SCI should be pursued to effectively transform innovativeness into performance. Originality/value – This work seminally examines the effect of innovativeness in the supply chain on SCI and SCP as well as the mediating role of SCI in the relationships between innovativeness and SCP.


2021 ◽  
Vol 9 (2) ◽  
pp. 357-364
Author(s):  
Shreyansh Jain, Et. al.

This paper studied about the role of different independent factors on supply chain responsiveness. Here, we considered factors such as joint decision making, information quality and performance risk as three independent variables and supply chain responsiveness as a dependent variable. We tried to survey different supply chain professionals working in different sectors to have an unbiased image in our study. After applying Pearson corelation in our study, we understood the significance of our independent variables on supply chain responsiveness. The positive significance shows the importance of these factors while working on our dependent variable. All three relationships are showcasing either positive or strong corelation. Finally, we could infer that there are a lot more factors that we can take in to consideration for calculating the impact on supply chain responsiveness in future studies. This will definitely strengthen the case and will help in practical explanation.                       


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